Triple
T1822212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Tabor |
E40563
|
entity |
| Predicate | pilgrimageDestinationSince |
P20225
|
FINISHED |
| Object | early Christian centuries |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: early Christian centuries | Statement: [Mount Tabor, pilgrimageDestinationSince, early Christian centuries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pilgrimageDestinationSince Context triple: [Mount Tabor, pilgrimageDestinationSince, early Christian centuries]
-
A.
isPilgrimageDestination
chosen
Indicates that a place serves as a destination specifically visited by people undertaking a religious or spiritual pilgrimage.
-
B.
pilgrimageAssociatedWith
Indicates a relationship where a pilgrimage is connected or related to a particular entity, such as a place, person, event, or religious tradition.
-
C.
pilgrimagePractice
Indicates that an entity engages in, prescribes, or is associated with the religious act of undertaking a pilgrimage as a spiritual practice.
-
D.
veneratedAt
Indicates that an entity is honored, revered, or worshipped at a particular place or institution.
-
E.
numberOfPilgrimagesToMecca
Indicates the count of times an entity has undertaken a pilgrimage to Mecca.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a8864526c081908a3a4d74f689e2c5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab21ab83a48190a33afe5db19a21f8 |
completed | March 6, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69aa61d97d008190b6642aef32eb7e36 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.